搜索结果: 1-5 共查到“工程测量技术 Algorithms”相关记录5条 . 查询时间(0.091 秒)
Backpropagation Neural Network for Soil Moisture Retrieval Using NAFE'05 Data: a Comparison of Different Training Algorithms
Neural Network Backpropagation Soil Moisture Airborne Algorithms Microwave
2015/12/18
The backpropagation artificial neural network (ANN) is a well-known and widely applied mathematical model for remote sensing applications for pattern recognition, approximation and mapping of non-line...
Automatic Road Extraction from High Resolution Satellite Images Using Neural Networks, Texture Analysis, Fuzzy Clustering and Genetic Algorithms
Road Extraction Neural Networks Co-occurrence Texture Analysis Fuzzy Clustering Vectorization
2015/12/9
In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-sharpened satellite images is presented. The proposed methodology consists of two separate stages of ro...
Accuracy of Lacunarity Algorithms in Texture Classification of High Spatial Resolution Images from Urban Areas
Accuracy Algorithms Texture Classification High Resolution Urban
2015/12/8
Lacunarity based measures can be described as texture recognition approaches that provide a flexible yet theoretically consistent mean of characterizing the morphology of urban spatial patterns across...
A Benchmark Dataset for Performance Evaluation of Shape-from-X Algorithms
Surface Reconstruction Shape-From-X Benchmarking Dataset Evaluation
2015/12/8
In this study, we present our benchmark dataset for performance evaluation of shape-from-X algorithms and a test procedure for evaluating the reconstruction results. Our aim is to support an objective...
VEGETATION HEIGHT ESTIMATION NEAR POWER TRANSMISSION POLES VIA SATELLITE STEREO IMAGES USING 3D DEPTH ESTIMATION ALGORITHMS
QuickBird Satellite sensor Pleiades satellite Sensor
2015/5/6
Monitoring vegetation encroachment under overhead high voltage power line is a challenging problem for electricity distribution companies. Absence of proper monitoring could result in damage to the ...